Neural Network Dual Architecture for Depression Detection Using Cloud Services
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Дата
2024
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Анотація
A method of detecting a depressive state by means of NLP was developed, which is designed to transform input data in the form of text and a trained neural network model of dual architecture into output data in the form of a numerical assessment of the presence of a depressive state. The proposed method differs from analogs in that it combines a two-stream architecture, which is based on the use of two parallel neural networks, each of which specializes in the analysis of different aspects of the text - syntactic and semantic.
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Tymofiiev I., Mazurets O., Hardysh D., Molchanova M. Neural Network Dual Architecture for Depression Detection Using Cloud Services. Scientific Research in the Era of Digital Technologies: Challenges and Opportunities. Proceedings of the XLVІ International scientific and practical conference. November 6-8, 2024. Barcelona, Spain. 2024. Pp. 84-88.